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Richard Blythman

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
ORCID 0000-0003-4953-8672

identity via Semantic Scholar / OpenAlex

most citedKinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints

5 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2023

Decentralized Technologies for AI Hubs

Richard Blythman, Mohamed Arshath, Salvatore Vivona +2

AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs. AI Hubs have contributed significantly to the democratization of AI. However, exis…

cs.CV2022★ 1 cited

Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation

Sebastian Lutz, Richard Blythman, Koustav Ghosal +3

Monocular 3D human pose estimation technologies have the potential to greatly increase the availability of human movement data. The best-performing models for single-image 2D-3D li…

cs.CV2022★ 5 cited

KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints

Kevin Gildea, Clara Mercadal-Baudart, Richard Blythman +2

Computer vision/deep learning-based 3D human pose estimation methods aim to localize human joints from images and videos. Pose representation is normally limited to 3D joint positi…

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